(Finance) – While the global adoption of artificial intelligence is ready to revolutionize sectors around the world, a New study entitled “Training courses for the transition to AI in skills and work” It highlights insight critics on the importance of training and learning in the preparation of workers in the transition to the AI. Made by Teha Group and commissioned by IBMthe report highlights that, despite the growing use of artificial intelligence solutions, a significant deficiency of skills remains an important obstacle for effective adoption. To fill this gap, the study provides five suggestions and underlines the urgent need for training courses to prepare workers for a future led by artificial intelligence. Conducted by a high -profile consultative committee made up of world leaders in the field of workers’ training and development, The report focuses on six countries, France, Germany, Italy, Japan, the United States and the United Kingdom, and on the challenges related to demographic changes and the labor market.
“Artificial intelligence – he said Lorenzo Tavazzi, Senior Partner and Head of Scenarios and Intelligence of Teha Group – It has the potential to redefine the future of work. However, to create these benefits, a global approach to the training and development of skills is required, ensuring that no segment of the company be left behind “.
“The collaboration between public schools, universities, polytechnicians, communities college, non -profit organizations and governments – he said Justina Nixon-Saintil Vice President and Chief Impact Officer of IBM – It is essential to expand access to AI training and fill the gap of skills. Looking at 2025, we know that a qualified workforce is essential to free the full potential of AI, and this is why we have committed to forming 2 million students by the end of 2026. This study highlights the need to expand the Our collaborations and we invite others to join us in this important effort “.
The current panorama of the adoption of AI and the lack of skills
According to projections, artificial intelligence will increase global productivity up to 1.5% per year, potentially promoting significant growth in GDP. By 2030, about 729 million people are expected to use AI tools, compared to current 314 million. In addition, the AI will affect over 83% of the tasks in the main working groups analyzed, over 60% of these tasks will be enhanced rather than automated (among those potentially affected by AI). To fully exploit the potential of AI, it is necessary to deal with the problem of the inadequacy of the skills that concerns about 50% of the workers in the six countries, many of whom do not have the technical skills necessary to adapt to the new roles led by AI.
Training and learning paths are fundamental
Over 450 million workers will need redevelopment by 2030 and more than 30% (136 million) will rely on non -traditional training courses, such as online courses and digital credentials. The traditional academic courses, provided by universities and research institutes, in the field of artificial intelligence have increased on average by 22% from 2017 to 2023, but 80% still focus on traditional STEM areas and economic disciplines, reflecting a trend towards technical and analytical fields. This restricted area represents a challenge, since the AI transformation potential extends to human, social, artistic and health sciences; The integration of AI in these non -Stem paths is essential to create a complete and competent workforce in the technological field.
The suggestions to face the global gap of skills
Promote training on AI at all levels: Introduce the concepts of AI in training programs, focusing on critical thinking, ethics and problems resolution of problems that are relevant in various sectors. It is essential that the infusion of AI in training takes place in collaboration with teachers and educators. Chiare strategies, funding and indications will be needed to include artificial intelligence at all levels of the training system. To be resilient and benefit from the developments of AI, individuals must have a combination of technical but also human skills, such as critical thinking, creativity, the ability to solve problems and ethics.
Give power to small and medium -sized enterprises and communities with scarce resources: Offer resources and orientation for AI training by promoting high quality standards, evaluating digital skills and AI, encouraging innovation through networking and helping company leaders to develop their knowledge on AI. To maximize the benefits of AI in work, it is essential to provide clear indications on the evolution and opportunities that AI entails, while guaranteeing financing opportunities for training activities related to AI.
Encourage the permanent learning of AI: Create learning paths accessible for individuals in all stages of their career, in particular for unqualified workers and the elderly, with awareness -raising initiatives on the relevance and impact of AI in different sectors. This could be made through partnerships that promote access to basic courses on free or low cost AI. The literacy courses on artificial intelligence should be adapted to the different social and professional needs of the population in terms of content but also of format, for example by providing flexible and easily accessible courses in various ways.
Establish a reliable credential system: Develop standardized and widely recognized credentials for the training related to AI, ensuring that employers and individuals have a reliable way to measure skills and skills. Public-private partnerships are essential to align the training content to the needs of the sector, ensuring that the AI training programs are relevant and suitable for technological progress.